Results 291 to 300 of about 1,311,020 (347)
Some of the next articles are maybe not open access.
Behavioral Therapy Development and Psychological Science: Reinforcing the Bond
Psychological Science, 1997An abundance of research from diverse areas of psychological science is potentially relevant to behavioral therapy development research The National Institute on Drug Abuse of the National Institutes of Health convened a workshop to reinforce the connection between basic behavioral and therapy development research The articles in this Special Section ...
Lisa Simon Onken, Jack D. Blaine
openaire +1 more source
Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction
IEEE Transactions on Artificial IntelligenceReinforcement learning (RL) algorithms typically require orders of magnitude more interactions than humans to learn effective policies. Research on memory in neuroscience suggests that humans' learning efficiency benefits from associating their ...
Yongxin Kang +6 more
semanticscholar +1 more source
Psychological Reinforcement in Confronting the Enemies from a Quranic Perspective
Arid International Journal of Educational and physcological sciences, 2022This research which was entitled: (Psychological Reinforcement in Confronting the Enemies from a Quranic Perspective) seeks to take care of the psychological aspect of human beings when facing life challenges, specially when confronting various types of enemies that ambushed him, and aims to extricate the Nation of Islam from the causes of ...
openaire +1 more source
Proceedings of the National Academy of Sciences of the United States of America
Significance Understanding how and why humans and other agents persist in repeating past choices—even when these lead to negative outcomes —has intrigued scientists across fields such as neuroscience, behavioral economics, and psychology.
I. Hoxha +2 more
semanticscholar +1 more source
Significance Understanding how and why humans and other agents persist in repeating past choices—even when these lead to negative outcomes —has intrigued scientists across fields such as neuroscience, behavioral economics, and psychology.
I. Hoxha +2 more
semanticscholar +1 more source
A Commentary on “Positive Psychology and Indian Psychology: In Need of Mutual Reinforcement”
Psychological Studies, 2014For those who consider Indian Psychology (IP) a cause worthy of support, comparing IP with Positive Psychology (PP) is a compelling, but at first sight rather embarrassing exercise. Though these two approaches to psychology started roughly at the same time with similar-looking intentions, PP has made by now a major impact in terms of published papers ...
openaire +1 more source
Revised Reinforcement Sensitivity Theory: Implications for psychopathology and psychological health
Personality and Individual Differences, 2013We examined the utility of revised Reinforcement Sensitivity Theory (r-RST) in comparison with original Reinforcement Sensitivity Theory (o-RST) in further understanding psychopathology and well-being. In line with theory, we found o-BIS to be a non-specific predictor of anxiety and stress whereas r-BIS and r-FFFS scales were predictors of anxiety and ...
Harnett, Paul H. +2 more
openaire +2 more sources
Semifactual Explanations for Reinforcement Learning
International Conference on Human-Agent InteractionReinforcement Learning (RL) is a learning paradigm in which the agent learns from its environment through trial and error. Deep reinforcement learning (DRL) algorithms represent the agent’s policies using neural networks, making their decisions difficult
Jasmina Gajcin +2 more
semanticscholar +1 more source
Human-Robot Emotional Interaction Model Based on Reinforcement Learning
Cybersecurity and Cyberforensics ConferenceEmotional interaction is pivotal in fostering collaboration between humans and robots. Current paradigm in humanrobot interaction predominantly addresses physical aspects, overlooking the nuanced emotional dynamics inherent in the interaction.
Dan Chenl +3 more
semanticscholar +1 more source
Psychological and Neuroscientific Connections with Reinforcement Learning
2012The field of Reinforcement Learning (RL) was inspired in large part by research in animal behavior and psychology. Early research showed that animals can, through trial and error, learn to execute behavior that would eventually lead to some (presumably satisfactory) outcome, and decades of subsequent research was (and is still) aimed at discovering the
openaire +1 more source
A novelty psychological cognition behaviour model based on reinforcement learning
International Journal of Reasoning-based Intelligent Systems, 2019The goal of the paper is to effectively illustrate psychological cognition behaviours using the reinforcement learning. Combined with the trust behaviour of human society, an reinforcement learning model based on human trust habits is put forward: 1) self-adaptive overall knowability decision-making method based on the historical evidence window is ...
Shiyong Liu, Ruosong Chang, Sang Fu
openaire +1 more source